Statistics

Authors and titles for recent submissions, skipping first 35

• Thu, 16 May 2024
• Wed, 15 May 2024
• Tue, 14 May 2024
• Mon, 13 May 2024
• Fri, 10 May 2024

Wed, 15 May 2024 (continued, showing last 34 of 36 entries)

[36]  arXiv:2405.08747 [pdf, ps, other]

Title: Minimax optimal seriation in polynomial time

Authors: Yann Issartel, Christophe Giraud, Nicolas Verzelen

Subjects: Statistics Theory (math.ST)

[37]  arXiv:2405.08738 [pdf, other]

Title: Calibrated sensitivity models

Authors: Alec McClean, Zach Branson, Edward H. Kennedy

Comments: To be presented at the 2024 American Causal Inference Conference

Subjects: Methodology (stat.ME)

[38]  arXiv:2405.08730 [pdf, other]

Title: A Generalized Difference-in-Differences Estimator for Unbiased Estimation of Desired Estimands from Staggered Adoption and Stepped-Wedge Settings

Authors: Lee Kennedy-Shaffer

Comments: 26 pages main text, 17 pages additional material, 1 figure, 6 tables

Subjects: Methodology (stat.ME); Applications (stat.AP)

[39]  arXiv:2405.08727 [pdf, other]

Title: Intervention effects based on potential benefit

Authors: Alexander W. Levis, Eli Ben-Michael, Edward H. Kennedy

Comments: 32 pages, 1 figure

Subjects: Methodology (stat.ME)

[40]  arXiv:2405.08719 [pdf, other]

Title: Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Authors: Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Marco Cuturi, Jörn-Henrik Jacobsen

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)

[41]  arXiv:2405.08699 [pdf, ps, other]

Title: Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarity

Authors: Wenrui Li, Wei Zhang, Qinghao Zhang, Xuegong Zhang, Xiaowo Wang

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[42]  arXiv:2405.08675 [pdf, other]

Title: Simplifying Debiased Inference via Automatic Differentiation and Probabilistic Programming

Authors: Alex Luedtke

Subjects: Methodology (stat.ME); Computation (stat.CO); Machine Learning (stat.ML)

[43]  arXiv:2405.08640 [pdf, other]

Title: A sparsity test for multivariate Hawkes processes

Authors: Antoine Lotz

Subjects: Statistics Theory (math.ST)

[44]  arXiv:2405.08631 [pdf, other]

Title: A Fast and Scalable Pathwise-Solver for Group Lasso and Elastic Net Penalized Regression via Block-Coordinate Descent

Authors: James Yang, Trevor Hastie

Subjects: Computation (stat.CO); Machine Learning (cs.LG); Mathematical Software (cs.MS); Software Engineering (cs.SE)

[45]  arXiv:2405.08574 [pdf, ps, other]

Title: Predicting Short Response Ratings with Non-Content Related Features: A Hierarchical Modeling Approach

Authors: Aubrey Condor

Subjects: Applications (stat.AP); Other Statistics (stat.OT)

[46]  arXiv:2405.08525 [pdf, other]

Title: Doubly-robust inference and optimality in structure-agnostic models with smoothness

Authors: Matteo Bonvini, Edward H. Kennedy, Oliver Dukes, Sivaraman Balakrishnan

Comments: 54 pages, 2 figures

Subjects: Methodology (stat.ME)

[47]  arXiv:2405.08524 [pdf, other]

Title: The Asymptotic Properties of the Extreme Eigenvectors of High-dimensional Generalized Spiked Covariance Model

Authors: Zhangni Pu, Xiaozhuo Zhang, Jiang Hu, Zhidong Bai

Subjects: Statistics Theory (math.ST)

[48]  arXiv:2405.08387 [pdf, ps, other]

Title: Quest for an efficient mathematical and computational method to explore optimal extreme weather modification

Authors: Yohei Sawada

Comments: 25 pages, 7 figures

Subjects: Applications (stat.AP); Geophysics (physics.geo-ph)

[49]  arXiv:2405.08332 [pdf, other]

Title: Parameter estimation and long-range dependence of the fractional binomial process

Authors: Meena Sanjay Babulal, Sunil Kumar Gauttam, Aditya Maheshwari

Comments: 18 pages, 4 figures

Subjects: Statistics Theory (math.ST)

[50]  arXiv:2405.08307 [pdf, other]

Title: Sequential Maximal Updated Density Parameter Estimation for Dynamical Systems with Parameter Drift

Authors: Carlos del-Castillo-Negrete, Rylan Spence, Troy Butler, Clint Dawson

Comments: 29 pages, 9 Figures, Code available at this https URL

Subjects: Methodology (stat.ME); Numerical Analysis (math.NA); Other Statistics (stat.OT)

[51]  arXiv:2405.08290 [pdf, ps, other]

Title: MCMC using $\textit{bouncy}$ Hamiltonian dynamics: A unifying framework for Hamiltonian Monte Carlo and piecewise deterministic Markov process samplers

Authors: Andrew Chin, Akihiko Nishimura

Subjects: Computation (stat.CO); Methodology (stat.ME)

[52]  arXiv:2405.08276 [pdf, other]

Title: Scalable Subsampling Inference for Deep Neural Networks

Authors: Kejin Wu, Dimitris N. Politis

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Computation (stat.CO)

[53]  arXiv:2405.08253 [pdf, ps, other]

Title: Thompson Sampling for Infinite-Horizon Discounted Decision Processes

Authors: Daniel Adelman, Cagla Keceli, Alba V. Olivares Nadal

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC)

[54]  arXiv:2405.08235 [pdf, other]

Title: Additive-Effect Assisted Learning

Authors: Jiawei Zhang, Yuhong Yang, Jie Ding

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[55]  arXiv:2405.08225 [pdf, ps, other]

Title: Linear Operator Approximate Message Passing (OpAMP)

Authors: Riccardo Rossetti, Bobak Nazer, Galen Reeves

Comments: 31 pages, 5 figures

Subjects: Statistics Theory (math.ST); Information Theory (cs.IT); Probability (math.PR)

[56]  arXiv:2405.08180 [pdf, ps, other]

Title: An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of tailoring variables

Authors: Lara Maleyeff, Shirin Golchi, Erica E.M. Moodie, Marie Hudson

Comments: 34 pages

Subjects: Methodology (stat.ME)

[57]  arXiv:2405.08177 [pdf, other]

Title: Parameter identifiability, parameter estimation and model prediction for differential equation models

Authors: Matthew J Simpson, Ruth E Baker

Comments: 22 pages, 6 Figures

Subjects: Methodology (stat.ME)

[58]  arXiv:2405.08787 (cross-list from cs.DS) [pdf, ps, other]

Title: Explicit Orthogonal Arrays and Universal Hashing with Arbitrary Parameters

Authors: Nicholas Harvey, Arvin Sahami

Subjects: Data Structures and Algorithms (cs.DS); Computational Complexity (cs.CC); Combinatorics (math.CO); Statistics Theory (math.ST)

[59]  arXiv:2405.08668 (cross-list from cs.CV) [pdf, other]

Title: Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research

Authors: Qinglong Cao, Yuntian Chen, Lu Lu, Hao Sun, Zhenzhong Zeng, Xiaokang Yang, Dongxiao Zhang

Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Applications (stat.AP)

[60]  arXiv:2405.08498 (cross-list from cs.LG) [pdf, other]

Title: Learning Decision Policies with Instrumental Variables through Double Machine Learning

Authors: Daqian Shao, Ashkan Soleymani, Francesco Quinzan, Marta Kwiatkowska

Comments: Accepted at ICML 2024

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[61]  arXiv:2405.08484 (cross-list from quant-ph) [pdf, other]

Title: Universal replication of chaotic characteristics by classical and quantum machine learning

Authors: Sheng-Chen Bai, Shi-Ju Ran

Comments: 8 pages, 4 figures

Subjects: Quantum Physics (quant-ph); Machine Learning (cs.LG); Chaotic Dynamics (nlin.CD); Machine Learning (stat.ML)

[62]  arXiv:2405.08421 (cross-list from cond-mat.dis-nn) [pdf, other]

Title: Faster algorithms for the alignment of sparse correlated Erdös-Rényi random graphs

Authors: Andrea Muratori, Guilhem Semerjian

Comments: 31 pages

Subjects: Disordered Systems and Neural Networks (cond-mat.dis-nn); Data Structures and Algorithms (cs.DS); Probability (math.PR); Statistics Theory (math.ST)

[63]  arXiv:2405.08284 (cross-list from econ.EM) [pdf, ps, other]

Title: Predicting NVIDIA's Next-Day Stock Price: A Comparative Analysis of LSTM, MLP, ARIMA, and ARIMA-GARCH Models

Authors: Yiluan Xing, Chao Yan, Cathy Chang Xie

Comments: 7 pages, 4 figures, 2 tables, conference paper

Subjects: Econometrics (econ.EM); Machine Learning (cs.LG); Applications (stat.AP)

[64]  arXiv:2405.08217 (cross-list from cs.LG) [pdf, other]

Title: Data Valuation with Gradient Similarity

Authors: Nathaniel J. Evans, Gordon B. Mills, Guanming Wu, Xubo Song, Shannon McWeeney

Subjects: Machine Learning (cs.LG); Genomics (q-bio.GN); Quantitative Methods (q-bio.QM); Machine Learning (stat.ML)

[65]  arXiv:2405.08203 (cross-list from physics.soc-ph) [pdf, other]

Title: Community detection in bipartite signed networks is highly dependent on parameter choice

Authors: Elena Candellone, Erik-Jan van Kesteren, Sofia Chelmi, Javier Garcia-Bernardo

Subjects: Physics and Society (physics.soc-ph); Social and Information Networks (cs.SI); Methodology (stat.ME)

[66]  arXiv:2405.08179 (cross-list from eess.IV) [pdf, other]

Title: Do Bayesian imaging methods report trustworthy probabilities?

Authors: David Y. W. Thong, Charlesquin Kemajou Mbakam, Marcelo Pereyra

Subjects: Image and Video Processing (eess.IV); Machine Learning (cs.LG); Signal Processing (eess.SP); Applications (stat.AP); Machine Learning (stat.ML)

[67]  arXiv:2405.08033 (cross-list from cs.LG) [pdf, other]

Title: Predicting Ship Responses in Different Seaways using a Generalizable Force Correcting Machine Learning Method

Authors: Kyle E. Marlantes, Piotr J. Bandyk, Kevin J. Maki

Subjects: Machine Learning (cs.LG); Fluid Dynamics (physics.flu-dyn); Machine Learning (stat.ML)

[68]  arXiv:2405.05393 (cross-list from cs.SI) [pdf, other]

Title: Mutual information and the encoding of contingency tables

Authors: Maximilian Jerdee, Alec Kirkley, M. E. J. Newman

Comments: 18 pages, 9 figures

Subjects: Social and Information Networks (cs.SI); Statistical Mechanics (cond-mat.stat-mech); Machine Learning (stat.ML)

[69]  arXiv:nlin/0408039 (cross-list from nlin.AO) [pdf, ps, other]

Title: Stability and Diversity in Collective Adaptation

Authors: Yuzuru Sato, Eizo Akiyama, James P. Crutchfield

Comments: 22 pages, 23 figures; updated references, corrected typos, changed content

Subjects: Adaptation and Self-Organizing Systems (nlin.AO); Machine Learning (cs.LG); Dynamical Systems (math.DS); Chaotic Dynamics (nlin.CD); Machine Learning (stat.ML)

Tue, 14 May 2024 (showing first 16 of 72 entries)

[70]  arXiv:2405.07985 [pdf, ps, other]

Title: Improved LARS algorithm for adaptive LASSO in the linear regression model

Authors: Manickavasagar Kayanan, Pushpakanthie Wijekoon

Comments: 10 pages, 3 figures

Subjects: Methodology (stat.ME)

[71]  arXiv:2405.07979 [pdf, other]

Title: Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference

Authors: Matthew Eichhorn, Samir Khan, Johan Ugander, Christina Lee Yu

Subjects: Methodology (stat.ME); Statistics Theory (math.ST)

[72]  arXiv:2405.07976 [pdf, other]

Title: Localized Adaptive Risk Control

Authors: Matteo Zecchin, Osvaldo Simeone

Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Information Theory (cs.IT); Machine Learning (cs.LG)

[73]  arXiv:2405.07971 [pdf, other]

Title: Sensitivity Analysis for Active Sampling, with Applications to the Simulation of Analog Circuits

Authors: Reda Chhaibi, Fabrice Gamboa, Christophe Oger, Vinicius Oliveira, Clément Pellegrini, Damien Remot

Comments: 7 pages

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Applications (stat.AP); Methodology (stat.ME)

[74]  arXiv:2405.07958 [pdf, other]

Title: Record-based transmuted unit omega distribution: different methods of estimation and applications

Authors: Ashok Kumar Pathak, Mohd. Arshad, Alok Kumar Pandey, Alam Ali

Comments: 26 pages, 14 figures

Subjects: Statistics Theory (math.ST)

[75]  arXiv:2405.07910 [pdf, ps, other]

Title: A Unification of Exchangeability and Continuous Exposure and Confounder Measurement Errors: Probabilistic Exchangeability

Authors: Honghyok Kim

Subjects: Statistics Theory (math.ST); Methodology (stat.ME)

[76]  arXiv:2405.07879 [pdf, other]

Title: On the Relation Between Autoencoders and Non-negative Matrix Factorization, and Their Application for Mutational Signature Extraction

Authors: Ida Egendal, Rasmus Froberg Brøndum, Marta Pelizzola, Asger Hobolth, Martin Bøgsted

Subjects: Applications (stat.AP); Machine Learning (cs.LG)

[77]  arXiv:2405.07852 [pdf, other]

Title: Riemannian radial distributions on Riemannian symmetric spaces: Optimal rates of convergence for parameter estimation

Authors: Hengchao Chen

Subjects: Statistics Theory (math.ST); Differential Geometry (math.DG)

[78]  arXiv:2405.07795 [pdf, other]

Title: Improved Bound for Robust Causal Bandits with Linear Models

Authors: Zirui Yan, Arpan Mukherjee, Burak Varıcı, Ali Tajer

Comments: 11 pages, 3 figures. arXiv admin note: substantial text overlap with arXiv:2310.19794

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[79]  arXiv:2405.07757 [pdf, ps, other]

Title: Minimax rates in variance and covariance changepoint testing

Authors: Per August Jarval Moen

Subjects: Statistics Theory (math.ST)

[80]  arXiv:2405.07732 [pdf, other]

Title: Measuring dependence between a scalar response and a functional covariate

Authors: Siegfried Hörmann, Daniel Strenger

Subjects: Statistics Theory (math.ST); Probability (math.PR)

[81]  arXiv:2405.07722 [pdf, ps, other]

Title: Model Identifiability for Bivariate Failure Time Data with Competing Risk: Non-parametric Cause-specific Hazards and Gamma Frailty

Authors: Biswadeep Ghosh, Anup Dewanji, Sudipta Das

Subjects: Statistics Theory (math.ST)

[82]  arXiv:2405.07677 [pdf, other]

Title: Unveiling low-dimensional patterns induced by convex non-differentiable regularizers

Authors: Ivan Hejný, Jonas Wallin, Małgorzata Bogdan, Michał Kos

Comments: 30 pages, 5 figures, for associated code, see this https URL

Subjects: Statistics Theory (math.ST)

[83]  arXiv:2405.07631 [pdf, other]

Title: Improving prediction models by incorporating external data with weights based on similarity

Authors: Max Behrens, Maryam Farhadizadeh, Angelika Rohde, Alexander Rühle, Nils H. Nicolay, Harald Binder, Daniela Zöller

Subjects: Methodology (stat.ME); Applications (stat.AP)

[84]  arXiv:2405.07619 [pdf, ps, other]

Title: Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent

Authors: Michael Kohler, Adam Krzyzak, Benjamin Walter

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)

[85]  arXiv:2405.07552 [pdf, other]

Title: Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery

Authors: Caixing Wang, Ziliang Shen

Comments: Forty-first International Conference on Machine Learning (ICML 2024)

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)

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